Management at Webster Chemical Company is concerned as to whether caulking tubes are being properly capped. If a significant proportion of the tubes are not being​ sealed, Webster is placing its customers in a messy situation. Tubes are packaged in large boxes of . Several boxes are​ inspected, and the following numbers of leaking tubes are​ found: Sample Tubes Sample Tubes Sample Tubes 1 8 15 2 9 16 3 10 17 4 11 18 5 12 19 6 13 20 7 14 Total Calculate​ p-chart ​-sigma control limits to assess whether the capping process is in statistical control.

Respuesta :

Answer:

[tex]UCL = 0.078[/tex]

[tex]LCL = 0[/tex]

Step-by-step explanation:

Poorly formatted question (see attachment)

From the attachment, we have:

[tex]n = 135[/tex] --- the sample size

[tex]Samples = 20[/tex] --- The number of samples

[tex]\sum np = 87[/tex] --- Number of leaking tubes

First, we calculate the number of observations

[tex]\sum n = n * Samples[/tex]

[tex]\sum n= 135 * 20[/tex]

[tex]\sum n= 2700[/tex]

Using 3 sigma control limit, we have:

[tex]z = 3[/tex]

Calculate [tex]\bar p[/tex]

[tex]\bar p = \frac{\sum np}{\sum n}[/tex]

So, we have:

[tex]\bar p = \frac{87}{2700}[/tex]

[tex]\bar p = 0.0322[/tex]

Next, calculate the standard deviation

[tex]s_p = \sqrt{\frac{\bar p* (1-\bar p)}{n}}[/tex]

So, we have:

[tex]s_p = \sqrt{\frac{0.0322* (1-0.0322)}{135}}[/tex]

[tex]s_p = \sqrt{\frac{0.03116}{135}}[/tex]

[tex]s_p = \sqrt{0.0002308}[/tex]

[tex]s_p = 0.0152[/tex]

The control limits is then calculated as:

[tex]UCL = \bar p + z * s_p[/tex] --- upper control limit

[tex]LCL = \bar p - z * s_p[/tex] --- lower control limits

So, we have:

[tex]UCL = \bar p + z * s_p[/tex]

[tex]UCL = 0.0322 +3 * 0.0152[/tex]

[tex]UCL = 0.078[/tex]

[tex]LCL = \bar p - z * s_p[/tex]

[tex]LCL = 0.0322 - 3 * 0.0152[/tex]

[tex]LCL = -0.013[/tex]

Since the calculated LCL is less than 0, we simply set it to 0

[tex]LCL = 0[/tex]

So, the p chart control limits are:

[tex]UCL = 0.078[/tex]

[tex]LCL = 0[/tex]

Ver imagen MrRoyal